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Zhen Hua

Assistant Professor

Calculated based on number of publications stored in Pure and citations from Scopus

Research activity per year

Personal profile

Personal profile

Zhen Hua received her bachelor's and master's degrees in control science and engineering from the Harbin Institute of Technology, followed by a Ph.D. co-trained by the China Academy of Aerospace Systems Science and Engineering and the University of Manchester. Her research focuses on computational intelligence, multi-source information fusion, and uncertain information modeling.

Her research work has been published in TOP journals as the first author, such as Information Fusion (IF=18.6), Information Sciences (IF=8.1), and Expert Systems with Applications (IF=8.5). She serves as an associate editor for the Journal of Data Science and Intelligent Systems and PriMera Scientific Engineering.

Research interests

Computational Intelligence

Uncertain information modeling

Multi-source information fusion

Decision support systems

Information theory

Complex networks


Assistant Professor, School of AI and Advanced Computing, XJTLU, 2023-present

Awards and honours

Best Paper Awards, Global Awards on Artificial Intelligence and Robotics, Nov. 2022

The First Prize Scholarship, Harbin Institute of Technology, Sep. 2018

Champion of HIT in IET present around the world competition, Apr. 2018

The First Prize Scholarship, Harbin Institute of Technology, Sep. 2017

The Meritorious Winner in the Mathematical Contest in Modeling (MCM), May. 2017

The Second Prize Scholarship, Harbin Institute of Technology, Sep. 2016

The First Prize in National English Competition for College Students, May 2014

Outstanding Work Award, National Calligraphy Exhibition for the 40th Anniversary of Reform and Opening, Jan. 2019

Related documents

Education/Academic qualification

Ph.D., China Academy of Aerospace Systems Science and Engineering

M.Eng, Harbin Institute of Technology

B.Eng, Harbin Institute of Technology


  • QA75 Electronic computers. Computer science
  • Computer Science

Person Types

  • Staff


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